On the Representativeness of OpenStreetMap for the Evaluation of Country Tourism Competitiveness
| Autor: | Eva Onaindia, Alexander Bustamante, Laura Sebastia |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Geography
Planning and Development 0211 other engineering and technologies tourism statistics 02 engineering and technology Representativeness heuristic collaborative data open data analysis 0502 economics and business Earth and Planetary Sciences (miscellaneous) Regional science Computers in Earth Sciences Geography (General) Tourism competitiveness 05 social sciences 021107 urban & regional planning Regression analysis Collaborative data Open data analysis Tourism statistics Work (electrical) tourism competitiveness G1-922 Business LENGUAJES Y SISTEMAS INFORMATICOS 050212 sport leisure & tourism Tourism |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname ISPRS International Journal of Geo-Information, Vol 10, Iss 301, p 301 (2021) ISPRS International Journal of Geo-Information Volume 10 Issue 5 |
| Popis: | [EN] Since 2007, the World Economic Forum (WEF) has issued data on the factors and policies that contribute to the development of tourism and competitiveness across countries worldwide. While WEF compiles the yearly report out of data from governmental and private stakeholders, we seek to analyze the representativeness of the open and collaborative platform OpenStreetMap (OSM) to the international tourism scene. For this study, we selected eight parameters indicative of the tourism development of each country, such as the number of beds or cultural sites, and we extracted the OSM objects representative of these indicators. Then, we performed a statistical and regression analysis of the OSM data to compare and model the data emitted by WEF with data from OSM. Our aim is to analyze the tourist representativeness of the OSM data with respect to official reports to better understand when OSM data can be used to complement the official information and, in some cases, when official information is scarce or non-existent, to assess whether the OSM information can be a substitute. Results show that OSM data provide a fairly accurate picture of official tourism statistics for most variables. We also discuss the reasons why OSM data is not so representative for some variables in some specific countries. All in all, this work represents a step towards the exploitation of open and collaborative data for tourism. This work has been supported by COLCIENCIAS through a PhD scholarship. |
| Databáze: | OpenAIRE |
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